Prevención de fraude
Las capacidades de prevención de fraude de Cardflo protegen a los comercios de alto riesgo y a las grandes empresas de las amenazas en evolución.
Nuestro enfoque en capas combina análisis avanzados con reglas personalizables para identificar y bloquear transacciones fraudulentas antes de que afecten a su negocio. Minimice los contracargos y asegure sus flujos de ingresos.
- Categoría
- Riesgo
- Capacidades
- 10
- Disponible en
- Todos los planes
La visión general
Fraud prevention in the payments ecosystem refers to the technical framework and logic applied to identify high-risk transactions before they result in financial loss or regulatory penalties.
In a typical merchant stack, fraud tools sit between the checkout interface and the payment gateway, analysing data points to predict the legitimacy of a cardholder.
These systems evaluate transaction metadata such as IP addresses, device identifiers, and historical card behaviour to assign a risk score.
For merchants in high-risk sectors or those processing significant cross-border volumes, effective fraud mitigation is essential to maintain low chargeback ratios, which directly influences the terms set by the acquirer.
Excessive fraud levels can lead to increased scheme fees, mandatory participation in monitoring programmes, or the termination of a Merchant Identification Number (MID).
By utilising a layered approach involving 3DS, velocity controls, and automated blocklists, businesses can distinguish between legitimate customers and sophisticated bot-driven or manual fraud attempts during the authorisation phase.
Cómo funciona
Data ingestion and enrichment
When a customer initiates a transaction, the system captures non-sensitive data including the BIN, IP address, and browser fingerprint.
This information is enriched by checking against global databases to determine the geographical location and proxy status of the user, providing a baseline for the subsequent risk assessment and scoring process.
Velocity and pattern analysis
The engine monitors the frequency of attempts from specific cards, devices, or email addresses within defined timeframes.
If a single identifier attempts multiple high-value transactions or exhibits irregular behaviour patterns, such as cycling through different CVV numbers, the system triggers a temporary block or requires additional authentication steps.
Customisable rule execution
Merchants configure specific logic based on their internal risk tolerances and industry-specific threats.
Rules can be set to automatically decline transactions from certain high-risk jurisdictions, flag orders above a specific currency threshold, or enforce SCA for every transaction where the billing and shipping addresses do not match.
Real-time decisioning and response
Within milliseconds, the system produces an allow, deny, or review recommendation. An 'allow' response permits the authorisation request to proceed to the issuer.
A 'deny' response prevents the cost of a gateway call, while a 'review' allows manual oversight before the merchant captures the funds for the order.
Por qué importa
Preservation of merchant standing
Acquirers and card schemes monitor the ratio of fraudulent transactions to total sales. Exceeding established thresholds can result in a merchant being placed in monitoring programmes like the Visa Fraud Monitoring Programme (VFMP).
Maintaining robust prevention mechanisms ensures the business stays within acceptable bounds, avoiding punitive fees and ensuring continued access to card processing networks.
Reduction in operational overhead
Managing disputes and chargebacks is a resource-intensive process involving representment and administrative evidence gathering. By blocking fraudulent attempts at the pre-authorisation stage, a firm reduces the volume of retrieval requests and subsequent chargebacks.
This allows the risk team to focus on legitimate customer issues rather than fighting inevitable losses from stolen credentials.
Optimisation of acceptance rates
Indiscriminate fraud blocking can lead to false positives, where legitimate customers are declined. A granular prevention strategy uses machine learning and specific Merchant Category Code (MCC) data to refine rules.
This precision helps in identifying genuine buyers, thereby improving the overall authorisation rate and protecting the customer experience from unnecessary friction during the checkout process.
Casos de uso
International E-commerce expansion
When entering new geographical markets, merchants often face unfamiliar fraud patterns. A layered prevention system helps identify suspicious proxy usage or mismatched BIN-to-IP locations, allowing for safer cross-border trade without manually reviewing every single foreign transaction.
High-velocity digital goods
For businesses selling instant-delivery items like gift cards or gaming credits, fraud happens at scale. Automated velocity checks prevent 'carding' attacks where bots test thousands of stolen numbers in minutes, protecting the business from rapid, massive financial exposure.
Subscription and recurring billing
Merchant-initiated transactions (MIT) require a high level of trust in the initial credentials. Verification tools ensure the card is valid and belongs to the user during the first transaction, reducing the likelihood of future chargebacks on subsequent recurring billing cycles.
En cifras
Industry data suggests that implementing proactive blocking and pre-chargeback alerts can reduce the total volume of successful disputes within this range for high-risk merchants.
Typical industry performance for a tuned fraud engine, representing the balance between security and the risk of declining legitimate transactions during the authorisation process.
The standard duration for a fraud check to be completed within the payments stack to ensure no perceptible delay for the customer at checkout.
Términos relacionados
Talk to our team about a live rollout on your acquiring stack.
Lo que obtienes con Prevención de fraude
- Puntuación de transacciones y evaluación de riesgos en tiempo real.
- Motores de reglas personalizables para patrones de fraude específicos.
- Geolocalización por IP y análisis de huellas dactilares de dispositivos.
- Controles de velocidad y análisis de comportamiento.
- Integración con herramientas de fraude de terceros.
- Bloqueo automatizado de transacciones sospechosas.
- Alertas previas al contracargo a través de Ethoca y RDR.
- BIN lookup services to verify the card type and country of the issuing bank.
- Address Verification Service (AVS) and CVV checks integrated into the initial gateway request.
- Comprehensive reporting on decline reasons and fraud trends to inform proactive risk management strategy.
A short scoping call, then a written plan for your MIDs.
Preguntas sobre Prevención de fraude
¿Cómo funciona la prevención de fraude de Cardflo en tiempo real?
El sistema de prevención de fraude de Cardflo analiza cada transacción en tiempo real utilizando una combinación de puntos de datos, incluyendo direcciones IP, información del dispositivo, historial de transacciones y reglas personalizadas.
Esta evaluación inmediata permite la identificación y el bloqueo rápidos de actividades potencialmente fraudulentas a medida que ocurren.
¿Puedo personalizar las reglas de prevención de fraude para mi negocio?
Sí, Cardflo ofrece un motor de reglas personalizable que permite a los comercios definir reglas específicas de prevención de fraude adaptadas a su modelo de negocio, industria y apetito de riesgo.
Esta flexibilidad asegura que el sistema se adapte a patrones de fraude únicos y minimice los falsos positivos.
¿Qué tipos de fraude previene Cardflo?
Las capacidades de prevención de fraude de Cardflo abordan varios tipos de fraude, incluyendo fraude sin presencia de tarjeta, fraude amistoso, toma de control de cuentas y robo de identidad.
Nuestro enfoque de múltiples capas y análisis avanzados están diseñados para detectar y prevenir un amplio espectro de actividades fraudulentas.
¿Qué son las alertas previas al contracargo y cómo ayudan?
Las alertas previas al contracargo le dan una advertencia temprana antes de que una disputa se convierta en un contracargo formal.
Cardflo se integra con Ethoca y RDR (Resolución Rápida de Disputas) para que pueda actuar rápidamente, reembolsar si es apropiado y evitar tarifas de contracargo y ratios que pueden dañar su cuenta de comercio.
Why is device fingerprinting more effective than just checking an IP address?
IP addresses are easily changed via VPNs, proxies, or mobile network switching. Device fingerprinting creates a unique identifier for a user's hardware and software configuration, including OS version, browser type, language settings, and screen resolution.
This allows the system to recognize a specific device even if the IP address changes. If a single device is linked to dozens of different cards or names across multiple sessions, it is a high-probability indicator of compromised credential testing or professional fraud activity.
What role does the Merchant Category Code (MCC) play in fraud risk assessment?
The MCC tells the issuer what type of business the merchant is running. Certain codes, such as those for cryptocurrency, gaming, or adult services, are traditionally viewed as higher risk by issuers and acquirers.
Fraud prevention systems often adjust their sensitivity based on the MCC.
For example, a travel agency may have a higher threshold for transaction value before flagging for review compared to a low-cost digital download site, as the average ticket price for flights is naturally much higher.
Características relacionadas.
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